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About the Role

The AI & ML Engineering team accelerates AI adoption across the business, championing innovation while ensuring machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools or build custom solutions. Our remit spans AI enablement, agentic systems development, and conventional ML engineering for non-GenAI applications like recommender systems and forecasting models. We are seeking an AI & ML Engineer passionate about building production-ready AI and machine learning solutions, contributing to the design, implementation, and deployment of scalable AI systems across the full development lifecycle.

Responsibilities

• Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.
• Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).
• Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.
• Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.
• Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.
• Contributing to reusable components, documentation and engineering best practices that improve AI/ML delivery across the organisation.
• Collaborating with data engineers, data scientists, front & back-end engineers, product managers to deliver impactful solutions.
• Supporting the evaluation of new AI technologies, frameworks and tooling, contributing ideas and recommendations for continuous improvement.

Requirements

• Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).
• Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK).
• Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.
• Proven experience deploying and operating ML systems in production (batch and real-time).
• Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques.
• Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage.
• Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).
• Effective communication skills and ability to work with both technical and non-technical stakeholders.
• An interest in evaluating new AI technologies and contributing to technical discussions around build, buy or configure decisions.
• Bachelor’s or Master’s degree in Computer Science/Engineering/related field, or demonstrable relevant experience.
• Knowledge of vector databases and retrieval strategies.
• Experience with recommender systems and ranking models.
• Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).
• A working understanding of cloud networking and platform infrastructure.
• Experience in e-commerce or retail environments.

Skills

• Python
• FastAPI
• GCP
• GCP Vertex AI
• AWS SageMaker
• Azure ML
• LangChain
• LangGraph
• ADK
• MLOps
• CI/CD
• Terraform
• RAG
• Prompt Engineering
• IAM
• Vector Databases
• Recommender Systems
• LLM Evaluation Tools

Location

• Remote

Work Type

• Hybrid

Experience Level

• Mid-level

Education Level

• Bachelor's degree
• Master's degree

Benefits

• 25 days holiday (plus bank holidays)
• Additional day off for birthday
• Inclusive parental leave policy
• Pension
• Life assurance
• Medicash
• Employee Assist Programs
• Regular social events
• Dog friendly days and spaces
• Product discount
• Product gifting

About the Company

• Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range.
• Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.
• Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond.
• It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.
• Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic.
• The energy behind the bran­d is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.
• Our mission is to empower everybody in the world to be the most beautiful version of themselves.
• We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce.

Equal Opportunity

• By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.